Perceptual color contrast based watershed for color image segmentation

Chao Yu Chi, Shen Chuan Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The goal of image segmentation is to partition the image into several homogenous regions or particular objects with similar properties, such like color and texture. It is essential for object recognition and image retrieval, and it also could enhance the performance of certain compression algorithms. In this paper, a perceptual color contrast based watershed algorithm for color images segmentation is presented. The conventional watershed segmentation algorithm is not suitable for color image directly, since it is hard to decide a suitable color gradient measurement for color image. The proposed algorithm adopts HSV color space to define the color contrast gradient for the improvement of watershed algorithm. Experimental result shows that the proposed algorithm can avoid the over segmentation problem, and produce segmented result which is close to human perception.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3548-3553
Number of pages6
ISBN (Print)1424401003, 9781424401000
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 2006 Oct 82006 Oct 11

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
ISSN (Print)1062-922X

Other

Other2006 IEEE International Conference on Systems, Man and Cybernetics
Country/TerritoryTaiwan
CityTaipei
Period06-10-0806-10-11

All Science Journal Classification (ASJC) codes

  • General Engineering

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